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Semiparametric estimation of lifetime equivalence scales

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  • Krishna Pendakur

    (Department of Economics, Simon Fraser University, Canada)

Abstract

Pashardes (1991) and Banks et al. (1994) use parametric methods to estimate lifetime equivalence scales. Their approaches put parametric restrictions on the differences in within-period expenditure needs across household types, the intertemporal allocation of expenditure, and the shapes of commodity demand equations. This paper puts parametric structure only on the differences in within-period expenditure needs across household types. This implies structure on the intertemporal allocation of expenditure, but leaves the shapes of commodity demand equations unrestricted. Semiparametric methods are used to estimate within-period and lifetime equivalence scales with Canadian expenditure data, and to test the restrictions imposed on within-period expenditure functions. Estimated lifetime equivalence scales are similar in size to those estimated by Banks et al. (1994) and exhibit equal lifetime costs for first and second children. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Krishna Pendakur, 2005. "Semiparametric estimation of lifetime equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 487-507.
  • Handle: RePEc:jae:japmet:v:20:y:2005:i:4:p:487-507
    DOI: 10.1002/jae.768
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    1. Yiguo Sun & Thanasis Stengos & Dianqin Wang, 2006. "Estimates of semiparametric equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 629-639.
    2. Pendakur, Krishna, 1998. "Semiparametric estimates and tests of base-independent equivalence scales," Journal of Econometrics, Elsevier, vol. 88(1), pages 1-40, November.
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    8. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
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    Cited by:

    1. Ralf A. Wilke, 2006. "Semi-parametric estimation of consumption-based equivalence scales: the case of Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 781-802.
    2. Betti Gianni & Karadag Mehmet Ali & Sarica Ozlem & Ucar Baris, 2017. "Regional differences in equivalence scales in Turkey," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 13(1), pages 63-69.
    3. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    4. Gianni Betti, 2017. "Quantifying the economic cost of children: a note on intertemporal equivalence scales," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1197-1205, May.
    5. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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